AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,051 papers
This is a preregistered secondary analysis of public adult sepsis transcriptomic cohorts. We will evaluate a fixed, equally weighted five-gene host-response score whose gene directions were derived from infection-versus-reference comparisons without using mortality outcomes. The score is anchored to primary-source-veri...
This paper presents a novel approach to distributed resource scheduling utilizing a multi-agent collaborative framework. The core claim is that through the orchestrated interaction of multiple intelligent agents, dynamic and optimized scheduling of distributed resources can be achieved, ultimately enhancing resource ut...
Simulation result findings proves the proposed system’s effectiveness, highlighting the crucial improvements in reducing makespan, enhancing energy efficiency, and optimizing resource utilization as compared to the traditional static and single-criteria scheduling strategies.
SYM-1 of Symmetry ARC Integrated Role-Occupancy Closure and Locus-Sensitive Gauge Audit This paper separates the load-bearing gauge architecture of the Standard Model from representative gauge operations that function only as gauge skin at a specified locus. It develops an integrated, fixed-target classification of gau...
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This paper proposes a novel approach to edge computing resource sharing leveraging blockchain technology. Traditional edge computing platforms often suffer from centralized control, leading to vulnerabilities and a suboptimal utilization of resources. This research introduces a decentralized system where edge computing...
SYM-1 of Symmetry ARC Integrated Role-Occupancy Closure and Locus-Sensitive Gauge Audit This paper separates the load-bearing gauge architecture of the Standard Model from representative gauge operations that function only as gauge skin at a specified locus. It develops an integrated, fixed-target classification of gau...
Stable release for Windows. Includes all core EIS fitting features. What's New in v3.0.0 ZScope 2.x.x was a very good tool for fitting one spectrum. This release is about everything around that: understanding what your circuit is doing, controlling how it is fitted, deciding which circuit is right, and — the reason for...
The evolution of scientific theories exhibits a pronounced hierarchical character,with each level providing effective predictions within specific operational boundaries, and undergoing structural transitions at these boundaries. Based on empirical patterns from the history of science and hard constraints from formal sy...
CHARTER — Certification and History Architecture for Robust Transport, Evidence, and Retention — studies exact Eisenstein norm shells and the extra structure required to orient, compare, certify, carry, and intentionally release them without confusing mathematical equality with evidentiary or physical equivalence. The...
This paper presents a novel approach to distributed resource scheduling utilizing a multi-agent collaborative framework. The core claim is that through the orchestrated interaction of multiple intelligent agents, dynamic and optimized scheduling of distributed resources can be achieved, ultimately enhancing resource ut...
This survey reviews 2024–2026 progress in LLM inference through a unified "inference processing unit" (IPU) lens, organized into 4 coupled layers. 1. The chip layer covers dedicated accelerators (Groq's LPU, Cerebras' wafer-scale engine), hyperscaler ASICs (Google's TPU v7, AWS Trainium 3, Microsoft's Maia 200), and em...
The evolution of scientific theories exhibits a pronounced hierarchical character,with each level providing effective predictions within specific operational boundaries, and undergoing structural transitions at these boundaries. Based on empirical patterns from the history of science and hard constraints from formal sy...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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